Name
Title | ||
|---|---|---|
A review of 3D vessel lumen segmentation techniques: models, features and extraction schemes. |
Abstract | ||
|---|---|---|
Vascular diseases are among the most important public health problems in developed countries. Given the size and complexity of modern angiographic acquisitions, segmentation is a key step toward the accurate visualization, diagnosis and quantification of vascular pathologies. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.media.2009.07.011 | Medical Image Analysis |
Keywords | Field | DocType |
Review,Vascular segmentation,Vascular models,Vessel-dedicated features,Segmentation algorithms,3D angiography,Computed tomography angiography (CTA),Magnetic resonance angiography (MRA) | Computer vision,Scale-space segmentation,Pattern recognition,Visualization,Imaging modalities,Feature (computer vision),Segmentation,Segmentation-based object categorization,Lumen (unit),Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 6 | 1361-8415 |
Citations | PageRank | References |
321 | 10.73 | 158 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Lesage | 1 | 441 | 18.16 |
| Elsa D. Angelini | 2 | 740 | 60.44 |
| Isabelle Bloch | 3 | 2123 | 170.75 |
| Gareth Funka-Lea | 4 | 1383 | 63.84 |